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2002.06753/record.json
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2007.13078/record.json
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2009.05166/record.json
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2009.10259/record.json
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2011.12663/record.json
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2012.01524/record.json
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{
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| 4 |
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| 6 |
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| 7 |
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|
| 8 |
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| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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| 13 |
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| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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|
| 19 |
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|
| 20 |
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| 22 |
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| 30 |
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| 31 |
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|
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2103.16429/record.json
ADDED
|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2103.16429",
|
| 3 |
+
"month": "2021_03",
|
| 4 |
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"year": 2021,
|
| 5 |
+
"conference": "NAACL",
|
| 6 |
+
"title": "Put Chatbot into Its Interlocutor’s Shoes: New Framework to Learn Chatbot Responding with Intention",
|
| 7 |
+
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|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_03/main_diagram_database/2103.16429",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_03/tex_files_extracted/2103.16429",
|
| 11 |
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|
| 12 |
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| 13 |
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| 14 |
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|
| 15 |
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| 17 |
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| 18 |
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| 19 |
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| 30 |
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| 31 |
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| 32 |
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2106.00794/record.json
ADDED
|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2106.00794",
|
| 3 |
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"month": "2021_06",
|
| 4 |
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"year": 2021,
|
| 5 |
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|
| 6 |
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"title": "What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?",
|
| 7 |
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|
| 8 |
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"source": {
|
| 9 |
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|
| 10 |
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| 11 |
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| 12 |
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| 15 |
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2106.07630/record.json
ADDED
|
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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2106.11613/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition",
|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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2107.08981/record.json
ADDED
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| 1 |
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| 3 |
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| 4 |
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|
| 6 |
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| 7 |
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|
| 8 |
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2107.11298/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 22 |
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| 30 |
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2108.13499/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2108.13499",
|
| 3 |
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"month": "2021_08",
|
| 4 |
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|
| 5 |
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|
| 6 |
+
"title": "Scene Synthesis via Uncertainty-Driven Attribute Synchronization",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2108.13499",
|
| 8 |
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|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.13499",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/tex_files_extracted/2108.13499",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.13499/paper_text/paper.md",
|
| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 30 |
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| 31 |
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| 32 |
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2109.14651/record.json
ADDED
|
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|
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|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 31 |
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| 32 |
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2203.10202/record.json
ADDED
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@@ -0,0 +1,32 @@
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|
|
|
|
|
| 1 |
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|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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2204.11117/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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2205.12101/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
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| 2 |
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| 3 |
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|
| 4 |
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| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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|
| 31 |
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|
| 32 |
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|
2206.11131/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2206.11131",
|
| 3 |
+
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|
| 4 |
+
"year": 2023,
|
| 5 |
+
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|
| 6 |
+
"title": "Variational Causal Dynamics: Discovering Modular World Models from Interventions",
|
| 7 |
+
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|
| 8 |
+
"source": {
|
| 9 |
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|
| 10 |
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|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_06/main_diagram_database/2206.11131/paper_text/paper.md",
|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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|
| 17 |
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| 18 |
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|
| 19 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 28 |
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| 29 |
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|
| 30 |
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|
| 31 |
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| 32 |
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|
2207.10988/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2207.10988",
|
| 3 |
+
"month": "2022_07",
|
| 4 |
+
"year": 2022,
|
| 5 |
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"conference": "ECCV",
|
| 6 |
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|
| 7 |
+
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|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_07/main_diagram_database/2207.10988",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_07/tex_files_extracted/2207.10988",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_07/main_diagram_database/2207.10988/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_07/main_diagram_database/2207.10988/metadata.json",
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| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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| 16 |
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|
| 17 |
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| 18 |
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| 19 |
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| 21 |
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| 22 |
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| 23 |
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| 30 |
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| 31 |
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| 32 |
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2208.00780/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2208.00780",
|
| 3 |
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|
| 4 |
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"year": 2022,
|
| 5 |
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"conference": "NEURIPS",
|
| 6 |
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"title": "Visual correspondence-based explanations improve AI robustness and human-AI team accuracy",
|
| 7 |
+
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|
| 8 |
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| 9 |
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| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_08/tex_files_extracted/2208.00780",
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| 11 |
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| 12 |
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| 13 |
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|
| 15 |
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| 30 |
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2210.05577/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2210.05577",
|
| 3 |
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|
| 4 |
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"year": 2022,
|
| 5 |
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|
| 6 |
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"title": "What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?",
|
| 7 |
+
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|
| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 15 |
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2212.10450/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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| 10 |
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| 11 |
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| 12 |
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2301.00346/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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| 7 |
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|
| 8 |
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| 10 |
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| 21 |
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|
| 22 |
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|
| 23 |
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| 24 |
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| 25 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2301.11674/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2301.11674",
|
| 3 |
+
"month": "2023_01",
|
| 4 |
+
"year": 2023,
|
| 5 |
+
"conference": "ICML",
|
| 6 |
+
"title": "Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference",
|
| 7 |
+
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|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_01/main_diagram_database/2301.11674",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_01/tex_files_extracted/2301.11674",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_01/main_diagram_database/2301.11674/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_01/main_diagram_database/2301.11674/metadata.json",
|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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| 18 |
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|
| 19 |
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|
| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 28 |
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| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2301.12667/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2301.12667",
|
| 3 |
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"month": "2023_01",
|
| 4 |
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|
| 5 |
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|
| 6 |
+
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|
| 7 |
+
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|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_01/main_diagram_database/2301.12667",
|
| 10 |
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| 11 |
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|
| 12 |
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| 13 |
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| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 22 |
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| 23 |
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| 30 |
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| 31 |
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| 32 |
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2303.08896/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2303.08896",
|
| 3 |
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"month": "2023_03",
|
| 4 |
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"year": 2023,
|
| 5 |
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|
| 6 |
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"title": "SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models",
|
| 7 |
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|
| 8 |
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|
| 9 |
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| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/tex_files_extracted/2303.08896",
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| 11 |
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| 12 |
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| 15 |
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| 30 |
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| 31 |
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2303.18120/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
| 1 |
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{
|
| 2 |
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"arxiv_id": "2303.18120",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
+
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|
| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 15 |
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| 31 |
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2304.01042/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 15 |
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2306.01129/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
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{
|
| 2 |
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"arxiv_id": "2306.01129",
|
| 3 |
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"month": "2023_06",
|
| 4 |
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"year": 2023,
|
| 5 |
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|
| 6 |
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"title": "White-Box Transformers via Sparse Rate Reduction",
|
| 7 |
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|
| 8 |
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| 9 |
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|
| 10 |
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| 11 |
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| 12 |
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|
| 15 |
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|
| 16 |
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"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2306.01129/main_diagram/main_diagram.drawio",
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2306.01129/latex_source"
|
| 23 |
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|
| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2306.01685/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
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|
|
|
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|
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|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2306.01685",
|
| 3 |
+
"month": "2023_06",
|
| 4 |
+
"year": 2023,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
+
"title": "MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2306.01685",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_06/main_diagram_database/2306.01685",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_06/tex_files_extracted/2306.01685",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_06/main_diagram_database/2306.01685/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_06/main_diagram_database/2306.01685/metadata.json",
|
| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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},
|
| 16 |
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"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2306.01685/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2306.01685/main_diagram/main_diagram.png",
|
| 19 |
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|
| 20 |
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| 21 |
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| 22 |
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|
| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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|
| 30 |
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"latex": "exists"
|
| 31 |
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|
| 32 |
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|
2308.12599/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2308.12599",
|
| 3 |
+
"month": "2023_08",
|
| 4 |
+
"year": 2023,
|
| 5 |
+
"conference": "ACMMM",
|
| 6 |
+
"title": "Exploiting Time-Frequency Conformers for Music Audio Enhancement",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2308.12599",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_08/main_diagram_database/2308.12599",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_08/tex_files_extracted/2308.12599",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_08/main_diagram_database/2308.12599/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_08/main_diagram_database/2308.12599/metadata.json",
|
| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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|
| 16 |
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| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2308.12599/main_diagram/main_diagram.drawio",
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| 18 |
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| 19 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 28 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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2309.14052/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2309.14052",
|
| 3 |
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"month": "2023_09",
|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "Robust Test-Time Adaptation for Single Image Denoising Using Deep Gaussian Prior",
|
| 7 |
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|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_09/main_diagram_database/2309.14052",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_09/tex_files_extracted/2309.14052",
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| 11 |
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| 12 |
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| 14 |
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|
| 15 |
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| 16 |
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| 18 |
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| 23 |
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| 30 |
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| 31 |
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|
| 32 |
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2310.09488/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2310.09488",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning",
|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/tex_files_extracted/2310.09488",
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| 11 |
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| 12 |
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| 14 |
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|
| 15 |
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| 18 |
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| 23 |
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| 30 |
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| 31 |
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2310.14942/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
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{
|
| 2 |
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"arxiv_id": "2310.14942",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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|
| 10 |
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| 11 |
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| 12 |
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| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 23 |
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| 24 |
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| 30 |
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|
| 31 |
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|
| 32 |
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2312.02530/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2312.02530",
|
| 3 |
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"month": "2023_12",
|
| 4 |
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"year": 2023,
|
| 5 |
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|
| 6 |
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"title": "MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection",
|
| 7 |
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|
| 8 |
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| 9 |
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|
| 10 |
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| 11 |
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| 12 |
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| 13 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 31 |
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2401.10848/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
| 1 |
+
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|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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| 11 |
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|
| 12 |
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| 13 |
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| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 31 |
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2402.07033/record.json
ADDED
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|
|
| 1 |
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|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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2403.06382/record.json
ADDED
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|
| 1 |
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| 2 |
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| 3 |
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| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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| 8 |
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| 9 |
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| 10 |
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2403.15605/record.json
ADDED
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|
| 1 |
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| 2 |
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| 3 |
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| 4 |
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|
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|
| 6 |
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| 7 |
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|
| 8 |
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2405.15388/record.json
ADDED
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| 1 |
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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| 10 |
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2405.17509/record.json
ADDED
|
@@ -0,0 +1,32 @@
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| 1 |
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| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 15 |
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2406.03919/record.json
ADDED
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|
|
|
| 1 |
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|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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| 12 |
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2410.18096/record.json
ADDED
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|
| 1 |
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| 3 |
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|
| 4 |
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| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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| 9 |
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2411.01545/record.json
ADDED
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|
| 1 |
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| 3 |
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| 4 |
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| 5 |
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|
| 6 |
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| 8 |
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2411.03387/record.json
ADDED
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| 1 |
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| 4 |
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2411.06174/record.json
ADDED
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| 6 |
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| 7 |
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2502.12769/record.json
ADDED
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|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2502.12769",
|
| 3 |
+
"month": "2025_02",
|
| 4 |
+
"year": 2025,
|
| 5 |
+
"conference": "EMNLP",
|
| 6 |
+
"title": "How Much Do LLMs Hallucinate across Languages? On Realistic Multilingual Estimation of LLM Hallucination",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2502.12769",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2025_02/main_diagram_database/2502.12769",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2025_02/tex_files_extracted/2502.12769",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2025_02/main_diagram_database/2502.12769/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2025_02/main_diagram_database/2502.12769/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2025_02/main_diagram_database/2502.12769/paper_text/paper.md",
|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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},
|
| 16 |
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"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2502.12769/main_diagram/main_diagram.drawio",
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2502.12769/paper.pdf",
|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2502.12769/latex_source"
|
| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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|
| 30 |
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"latex": "exists"
|
| 31 |
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|
| 32 |
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|
2505.02537/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2505.02537",
|
| 3 |
+
"month": "2025_05",
|
| 4 |
+
"year": 2025,
|
| 5 |
+
"conference": "ICML",
|
| 6 |
+
"title": "Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2505.02537",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2025_05/main_diagram_database/2505.02537",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2025_05/tex_files_extracted/2505.02537",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2025_05/main_diagram_database/2505.02537/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2025_05/main_diagram_database/2505.02537/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2025_05/main_diagram_database/2505.02537/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
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},
|
| 16 |
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"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2505.02537/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2505.02537/main_diagram/main_diagram.png",
|
| 19 |
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"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2505.02537/main_diagram/main_diagram.pdf",
|
| 20 |
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"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2505.02537/paper_text/intro_method.md",
|
| 21 |
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"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2505.02537/paper.pdf",
|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2505.02537/latex_source"
|
| 23 |
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|
| 24 |
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"status": {
|
| 25 |
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"copy_drawio": "exists",
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| 26 |
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"copy_png": "exists",
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| 27 |
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"diagram_pdf": "pdf_exists",
|
| 28 |
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"intro_method": "exists",
|
| 29 |
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"paper_pdf": "exists",
|
| 30 |
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"latex": "exists"
|
| 31 |
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}
|
| 32 |
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|
2505.07879/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2505.07879",
|
| 3 |
+
"month": "2025_05",
|
| 4 |
+
"year": 2025,
|
| 5 |
+
"conference": "ACL",
|
| 6 |
+
"title": "OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2505.07879",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2025_05/main_diagram_database/2505.07879",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2025_05/tex_files_extracted/2505.07879",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2025_05/main_diagram_database/2505.07879/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2025_05/main_diagram_database/2505.07879/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2025_05/main_diagram_database/2505.07879/paper_text/paper.md",
|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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|
| 16 |
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"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2505.07879/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2505.07879/main_diagram/main_diagram.png",
|
| 19 |
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"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2505.07879/main_diagram/main_diagram.pdf",
|
| 20 |
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"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2505.07879/paper_text/intro_method.md",
|
| 21 |
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"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2505.07879/paper.pdf",
|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2505.07879/latex_source"
|
| 23 |
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|
| 24 |
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"status": {
|
| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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|
| 30 |
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"latex": "exists"
|
| 31 |
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|
| 32 |
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|
2506.06898/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2506.06898",
|
| 3 |
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"month": "2025_06",
|
| 4 |
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"year": 2025,
|
| 5 |
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"conference": "CVPR",
|
| 6 |
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"title": "NSD-Imagery: A Benchmark Dataset for Extending fMRI Vision Decoding Methods to Mental Imagery",
|
| 7 |
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|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2025_06/main_diagram_database/2506.06898",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2025_06/tex_files_extracted/2506.06898",
|
| 11 |
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|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2025_06/main_diagram_database/2506.06898/metadata.json",
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| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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|
| 16 |
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|
| 17 |
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| 18 |
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| 19 |
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| 22 |
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| 23 |
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| 24 |
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| 30 |
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|
| 31 |
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|
| 32 |
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